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2 Table of Contents Introducing the Knowledge Explorer ...............................................................................................2 Importing and Mapping data from Spreadsheets ...........................................................................3 The Import Mapper Dialog Window ................................................................................................4 Customizing Your Display with Icons ...............................................................................................9 Saving Datasets ..............................................................................................................................11 Working with existing semantic data files .....................................................................................13 SPARQL queries..............................................................................................................................14 Next Steps ......................................................................................................................................16 Introducing the Knowledge Explorer We hope you enjoy using the Sentient Knowledge Explorer. It’s a visual tool that allows you to easily integrate multiple data sources in a using a flexible, standard data model. This data model, based on Semantic Web or Web 3.0 technologies, allows you to continually extend your integrations, which we call Knowledge Bases, as well as easily share this data with others and link to data shared on the web. This is an agile alternative to creating data warehouses with relational technology. Due to the flexible nature of RDF and OWL, Knowledge Bases can easily be extended as requirements change without complex refactoring projects. You will be able to follow the steps in this tutorial without a background in the Semantic Web, but to fully take advantage of the Knowledge Explorer, users will need an understanding of the underlying Semantic Web data model. IO Informatics offers training in these standards and how to most effectively apply them. You can also start to learn about the Semantic Web at: http://www.w3.org/standards/semanticweb A basic understanding of RDF is helpful for getting the most out of this tutorial. For an introduction to the Linked Data community, go to: http://linkeddata.org Once you have used the Knowledge Explorer to build a Knowledge Base around your area of interested you can: Create rich pattern-based queries to mine your data. Look for novel links in your data and form hypotheses. Query out to other sources to enrich that data. Share the data with colleagues and publish that data on the web using IO Informatics’ other tools. Build your own custom applications on top of your new Knowledge base. Very easily create attractive, publishable views of your data. Knowledge Explorer Tutorial | Rev 5-2011 | Copyright © IO Informatics 2007-2011